a dimension-independent and extensible framework for huge geometric models

A Dimension-Independent and Extensible Framework for Huge Geometric Models

David CANINO – canino@disi.unige.it

Brief Description

The dimension of huge models often exceeds the RAM size in a common PC workstation. Thus, using an External Memory (EM) technique is mandatory.

In this poster, we define a dimension-independent and extensible framework, called Objects Management in Secondary Memory (OMSM).

The OMSM framework can be easily adapted to the users needs through dynamic plugins, integrating a lot of techniques in a storing architecture.

David CANINO – canino@disi.unige.it – Dept. of Computer Science, Genoa, IT

OMSM Organization

David CANINO – canino@disi.unige.it – Dept. of Computer Science, Genoa, IT

Independent aspects:

Spatial indexing

Clustering policy

Clusters transfer

A layer for each aspect with a Common Interface

Independent data model for each layer

Interface and Dynamic Loading design patterns

Education